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Department of Astronomy

A novel algorithm for analysing gravitational microlensing events

Abstract

dc:description.abstract

This dissertation presents a new algorithm that was developed to perform autonomous fitting of gravitational microlensing lightcurves. The algorithm combines features of extant evolutionary algorithms with some novel ones, and fares well on the problem of fitting binary lens microlensing lightcurves, as well as on a number of other difficult optimisation problems. Furthermore, the new algorithm is conceptually simple, versatile and robust, and parallelises trivially.

Degree

thesis:*
Grantor dc:publisher.institution
Department of Astronomy
Year dc:date.issued
2012

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Rajpaul, Vinesh
Advisors dc:contributor.advisor
  • Menzies, John W
  • Stewart, I M
  • Woudt, Patrick Alan

Rights

Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/11427/11219
OAI identifier oai:identifier
oai:open.uct.ac.za:11427/11219

Chain of custody

source
Harvested from
University of Cape Town
Base URL
open.uct.ac.za/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
related terms
citation

Rajpaul, Vinesh. A novel algorithm for analysing gravitational microlensing events. Department of Astronomy, 2012. http://hdl.handle.net/11427/11219